Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-42.447	29.57	-1.435	0.165
X	13.955	5.638	2.475	0.022
- - -
Residual Std. Err.	82.268 on 22 df
Multiple R-sq.	0.218
Adjusted R-sq.	0.182

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	41458.075	41458.075	6.126	0.022
Residuals	22	148897.883	6768.086